{"id":"W2127222950","doi":"10.1369/0022155415595264","title":"MALDI-Mass Spectrometry Imaging Identifies Vitronectin as a Common Constituent of Amyloid Deposits","year":2015,"lang":"en","type":"article","venue":"Journal of Histochemistry & Cytochemistry","topic":"Amyloidosis: Diagnosis, Treatment, Outcomes","field":"Biochemistry, Genetics and Molecular Biology","cited_by":54,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Bundesministerium für Bildung und Forschung; Deutsche Forschungsgemeinschaft; Mount Royal University","keywords":"Vitronectin; Amyloid (mycology); Extracellular matrix; Chemistry; Extracellular; Mass spectrometry imaging; Amyloidosis; Amyloid fibril; Fibril; Biophysics; MALDI imaging; Mass spectrometry; Biochemistry; Matrix-assisted laser desorption/ionization; Pathology; Biology; Amyloid β; Fibronectin; Medicine; Chromatography; Desorption","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000230832,0.0003359026,0.0001825596,0.001137217,0.0002082654,0.0003589388,0.0002123021,0.0004456401,0.001048175],"category_scores_gemma":[0.0004284628,0.0001230324,0.0001650466,0.0004273509,0.000268171,0.0002861193,0.0002746457,0.0003080025,0.0003927291],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001935445,"about_ca_system_score_gemma":0.0001378561,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007626372,"about_ca_topic_score_gemma":0.0008268956,"domain_scores_codex":[0.9998042,0.00002073129,0.00001350084,0.0000532627,0.00007848838,0.00002977183],"domain_scores_gemma":[0.9997393,0.0000629296,0.00006233386,0.00001611232,0.00007231745,0.00004688906],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00007159838,0.00001616195,0.009977834,0.00003894087,0.00001751504,0.0007219562,0.000066099,0.00007920042,0.983683,0.0001017036,0.00008988854,0.005136017],"study_design_scores_gemma":[0.000009794674,0.0001222424,0.09972784,0.00002069504,0.00005282045,0.01156591,0.0002353696,0.005358946,0.8798344,0.0004510811,0.002603669,0.00001713619],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9834911,0.002176802,0.01031327,0.0001717825,0.00002530703,0.00002474007,0.000296725,0.0001737019,0.003326496],"genre_scores_gemma":[0.9866238,0.0007725586,0.01117639,0.000106411,0.00001687566,0.00001399559,0.0002066509,0.00002096884,0.001062458],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001137217,"threshold_uncertainty_score":0.003506482,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01013735940333498,"score_gpt":0.2699784492042797,"score_spread":0.2598410898009447,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}